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Leveraging AI-Enabled Remote Cardiac Monitoring to Improve Cardiovascular Care

DAIC

By enabling the decisive shift from a reactive to a proactive cardiology model, this technology doesnt just improve patient outcomes it is also helping keep cardiovascular care sustainable and affordable. In fact, approximately1 in 8 health care dollarsis spent on cardiovascular disease.

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Study Finds AI Can Help Predict Patients With High Risk of Major Adverse Cardiac Events

DAIC

2, 2024 — Eko Health recently announced a new independent study from researchers at Imperial College London (Imperial) that demonstrated how AI can identify patients with significantly higher risk of experiencing major adverse cardiac events (MACE), including heart attacks and heart failure.

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How AI and Machine Learning are Transforming Cardiology Practice Management

GEMMS

These technologies are reshaping how cardiology practices manage operations, deliver care, and enhance patient outcomes. This blog explores the profound benefits of AI and machine learning, which are revolutionizing cardiology practices, enhancing efficiency, and ultimately improving patient care.

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Comprehending the Dreadful Impacts of COVID-19 on Cardiovascular Treatments

SoftCath

Apart from blood clotting, in some Covid-19 patients, a higher risk of heart failure and heart attacks has been witnessed by the hospitals. This issue has raised the risk of extremely life-threatening medical events.

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New Calculations Could Slash Statin-Eligible Population

CardiacWire

In November 2023 the AHA launched the PREVENT risk equations , which take into account a wider range of cardiovascular, kidney, and metabolic health measures to estimate 10- and 30-year risks of heart attack, stroke, and heart failure.